Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage

Electricity markets; Mixed-integer linear programming; Multi-fidelity optimization; Pumped hydro energy storage; Surrogate-based optimization algorithms; Day-ahead scheduling; Integer Linear Programming; Mixed integer linear; Optimization algorithms; Programming solutions; Pumped-hydro energy storages; Redispatch; Surrogate-based optimization; Surrogate-based optimization algorithm; Renewable Energy, Sustainability and the Environment; Energy Engineering and Power Technology; Electrical and Electronic Engineering

Abstract :

[en] Optimizing the operation of Pumped-Hydro Energy Storage (PHES) requires accurately representing nonlinearities, such as reservoir geometry and water-power conversion efficiency. While traditional methods like Mixed-Integer Linear Programming (MILP) offer theoretical guarantees, they rely on approximations that can lead to suboptimal decisions and costly redispatch or penalties. Because of its inherent approximations, MILP is a low-fidelity optimization model. In this paper, we propose a multi-fidelity approach that combines MILP with a Surrogate-Based Optimization Algorithm (SBOA). MILP solutions are used as warm-starts for the SBOA, which refines the solutions using a high-fidelity simulator of PHES dynamics and redispatch costs. This allows the SBOA to handle nonlinearities and improve the initial MILP solution by exploring areas with higher expected value. Our approach is tested on a PHES unit that participates in the energy and reserve markets in Belgium. The results show that, despite the extensive efforts made in MILP modeling, decisions can still be improved through smart integration with SBOAs.

Disciplines :

Energy

Author, co-author :

Favaro, Pietro ^✱; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique

Gobert, Maxime ^✱; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique ; Mathematics and Operational Research, Mons, Belgium

Toubeau, Jean-François ; Power System and Market Research Group (PSMR), University of Mons, Mons, Belgium

^✱ These authors have contributed equally to this work.

Language :

English

Title :

Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage

Publication date :

December 2024

Journal title :

Journal of Energy Storage

ISSN :

2352-1538

eISSN :

2352-152X

Publisher :

Elsevier Ltd

Volume :

103

Pages :

114096

Peer reviewed :

Peer Reviewed verified by ORBi

Development Goals :

7. Affordable and clean energy

Additional URL :

https://api.elsevier.com/content/article/PII:S2352152X2403682X?httpAccept=text/xml

Research unit :

F101 - Génie Electrique

Research institute :

Energie

Funders :

Fund for Scientific Research

Funding text :

Pietro Favaro is funded by the F.R.S.-FNRS, Belgium under the grant number FC 49537 .

Data Set :

Optimization PHES

Link towards the project scripts and data.

Available on ORBi UMONS :

since 14 November 2024

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